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Multi-Factor Intelligent
Security (MFIS)™

 

MFIS™ combines several Gatekeeper solutions into one integrated platform. With multiple factors of authentication—facial recognition, license plate detection, vehicle classification, and undercarriage threat detection—Gatekeeper delivers the actionable intelligence that matters most for security.

MFIS™ pulls together and analyzes multiple factors of authentication—facial recognition, license plate analytics, vehicle classification, and undercarriage threat detection—to deliver the actionable intelligence that matters most to our customers. MFIS™ is designed to work in the  background, facilitating faster processing and security for border crossings, ports of entry, industrial facilities, and transportation hubs.

Facial Recognition

Performs real-time facial detection and recognition of all vehicle occupants (both front and rear seats) under a variety of challenging conditions including day, night, inclement weather, high-glare sunlight, and through heavily tinted glass. IVOD

License Plate Detection

Employing advanced machine learning, captures high-resolution images of vehicle and truck license plates to accurately provide the plates alpha-numeric value, country and state of origin under all environmental conditions. ILPA

Vehicle Classification

Through use of deep learning, classifies make, model, and color of a vehicle, providing additional authentication when securing borders, controlling facility access, and in the identification of key vehicle information for use in higher level analytics IVCA

Undercarriage Threat Detection

Using advanced signal processing, generates a “digital fingerprint” to automatically inspect a vehicle’s undercarriage to identify make and model, detect foreign objects and anomalies, and provide alerts regarding potential threats—all within a matter of seconds. IVUS

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